I am currently an Assistant Professor in Visual Information Processing and Learning (VIPL) group at the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). I received my Ph.D. from ICT, CAS in 2024, under the supervision of Prof. Xilin Chen. I also had close collaboration with Prof. Xiujuan Chai. My research interests mainly focus on human behavior analysis and understanding from sequential data, especially for gesture and sign language. I am also interested in exploring how to use data in deep learning more efficient. Feel free to reach out to me if you have an interest in the relevant topics.

🔥 News

  • 2024.09:  🎉🎉 One paper on skeleton-aware sign language recognition was accepted by ACCV 2024. Congratulations to Yifan Yang and the team!
  • 2024.06:  🎉🎉 One paper on vision-language pre-training in SLT was accepted by ECCV 2024. Congratulations to Peiqi Jiao and the team!
  • 2023.12:  🎉🎉 Successfully defended my PhD dissertation.
  • 2023.10:  🎉🎉 One paper on keyframe selection in CSLR was accepted by Scientia Sinica Informationis 2023.
  • 2023.10: Present the doctoral consortium “Alignment Constraints for Video-based Sign Language Understanding” at the workshop on Assistive Computer Vision and Robotics at ICCV23 [pdf] [workshop]
  • 2023.07:  🎉🎉 One paper on co-occurrence signals in CSLR was accepted by ICCV 2023. Congratulations to Peiqi Jiao and the team!
  • 2022.07:  🎉🎉 One paper on sequential representation learning was accepted by ECCV 2022.

📝 Publications

ECCV 2022
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Deep Radial Embedding for Visual Sequence Learning

Yuecong Min, Peiqi Jiao, Yanan Li, Xiaotao Wang, Lei Lei, Xiujuan Chai, Xilin Chen

  • RadialCTC constrains sequence features on a hypersphere while retaining the iterative alignment mechanism of CTC, which also provides a clear geometric interpretation for CTC
  • RadialCTC controls the peaky behavior with a simple angular perturbation term
ICCV 2021
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Visual Alignment Constraint for Continuous Sign Language Recognition

Yuecong Min, Aiming Hao, Xiujuan Chai, Xilin Chen

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  • VAC provides an efficient way to make CSLR models end-to-end trainable and is adopted as the baseline model by many recent works
  • Two metrics to evaluate the contributions of the feature extractor and the alignment module
CVPR 2020
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An Efficient PointLSTM for Point Clouds Based Gesture Recognition

Yuecong Min, Yanxiao Zhang, Xiujuan Chai, Xilin Chen

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  • PointLSTM can leverage long-term spatio-temporal relationships in irregular sequence data (e.g., point cloud) while preserving the spatial structure for irregular sequence recognition problem
  • Evaluation results on 3D gesture recognition and action recognition show great potential for real-time applications

🎖 Honors and Awards

  • China National Scholarship for Ph.D., ICT, CAS, 2022

📖 Educations

  • 2017.09 - 2024.1, I was a Ph.D. student at Institute of Computing Technology, CAS, under the supervision of Prof. Xilin Chen.
  • 2013.09 - 2017.07, I was a college student in Shandong University, Weihai.

✒️ Academic Services

  • Invited journal reviewer for IEEE TPAMI / IEEE TMM / IEEE TIP / PR …
  • Invited conference reviewer for CVPR’22 /ACM MM’22 / ECCV’22 / CVPR’23 …

⚙️ Misc

  • A summary of papers on gesture and sign language recognition.
  • A simple tool to visualize the main keywords of accepted papers for the recent Computer Vision conferences